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Scheduling and planning problem in manufacturing systems with multiobjective genetic algorithm

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2 Author(s)
Li, Y. ; Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong ; Man, K.F.

In this paper an extensive earliness/tardiness production scheduling and planning (ETPSP) model with lot-size consideration and capacity balance is proposed. An innovative approach using a multiobjective genetic algorithm (MOGA) is designed as its solutions. The presented MOGA approach can even deal with ETPSP problem which consists of highly complicated and nonlinear functions for the measure performance. The effectiveness of this approach is demonstrated by simulation results as well as the comparisons with other techniques

Published in:

Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE  (Volume:1 )

Date of Conference:

31 Aug-4 Sep 1998